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TheCluster/Qwen3.8-27B-MLX-mixed-6bit
Qwen3.8-27B-MLX-mixed-6bit is a image-text-to-text model from TheCluster. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
Quality: quantized (mixed quants per tensor, group size: 32, 6.096 bpw)
Downloads · 30 days
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How the weights are stored.
U3226.9B · 98%
From the Hugging Face model README
Quality: quantized (mixed quants per tensor, group size: 32, 6.096 bpw)
Most tensors use 4-bit, 6-bit or 8-bit affine quantization with a group size 32.
Update: default reasoning_effort is set to 'low' to avoid overthinking.
Sampling Parameters: The developers suggest using the following sets of sampling parameters:
temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0temperature=0.7, top_p=0.80, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0For supported frameworks, you can adjust the presence_penalty parameter between 0 and 2 to reduce endless repetition. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.
This model was converted to MLX format from Qwen/Qwen3.8-27B using mlx-vlm version 0.6.13.